Machine learning prediction of brain metastasis invasion pattern on brain magnetic resonance imaging scans.

Background: Brain metastasis invasion pattern (BMIP) is an emerging biomarker associated with recurrence-free and overall survival in patients, and differential response to therapy in preclinical models. Currently, BMIP can only be determined from the histopathological examination of surgical specimens, precluding its use as a biomarker prior to therapy initiation. The aim of this study was to investigate the potential of machine learning (ML) approaches to develop a noninvasive magnetic resonance imaging (MRI)-based biomarker for BMIP determination.

Does ultrasound guidance decrease femoral access site complications in neurointerventional procedures? A retrospective cohort study.

Background: Ultrasound has been increasingly used to guide femoral arterial access for neuroendovascular procedures. Its effect on the safety outcomes has yet to be established.

Purpose: The purpose is to determine the effect of ultrasound-guided punctures on femoral access site complications (ASC), and to identify other potential predictors of ASC.

Automated Segmentation of Lymph Nodes on Neck CT Scans Using Deep Learning.

Early and accurate detection of cervical lymph nodes is essential for the optimal management and staging of patients with head and neck malignancies. Pilot studies have demonstrated the potential for radiomic and artificial intelligence (AI) approaches in increasing diagnostic accuracy for the detection and classification of lymph nodes, but implementation of many of these approaches in real-world clinical settings would necessitate an automated lymph node segmentation pipeline as a first step. In this study, we aim to develop a non-invasive deep learning (DL) algorithm for detecting and automatically segmenting cervical lymph nodes in 25,119 CT slices from 221 normal neck contrast-enhanced CT scans from patients without head and neck cancer.

Oral Health Status in the Pars Cohort Study.

Background: Poor oral health is common in the world, especially in low-income and developing countries. We evaluated oral health status and its association with sociodemographic and economic variables in one of the largest cohort studies in Iran.

Methods: This cross-sectional study was conducted using data from the Pars Cohort Study which is conducted in a rural area in southern Iran.

Pediatric liver transplantation and COVID-19: a case report.

Background: Immunosuppressed patients, including individuals with organ transplantation, have been among susceptible groups with regard to COVID-19, on the other hand pediatric patients more commonly undergo a mild clinical course after acquiring COVID-19. To the best of the authors knowledge, to this date very little data exists on COVID-19 in a pediatric patient with liver transplantation.

Case Presentation: We report a three year-old boy who had liver transplantation at 18 months old.